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318cc9e5
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DeepSpeech
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318cc9e5
编写于
1月 06, 2022
作者:
小湉湉
提交者:
GitHub
1月 06, 2022
浏览文件
操作
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差异文件
Merge branch 'develop' into develop
上级
d6e9b76e
e69abc92
变更
11
隐藏空白更改
内联
并排
Showing
11 changed file
with
219 addition
and
16 deletion
+219
-16
paddlespeech/cli/asr/infer.py
paddlespeech/cli/asr/infer.py
+2
-0
paddlespeech/cli/cls/infer.py
paddlespeech/cli/cls/infer.py
+2
-0
paddlespeech/cli/st/infer.py
paddlespeech/cli/st/infer.py
+2
-0
paddlespeech/cli/text/infer.py
paddlespeech/cli/text/infer.py
+2
-0
paddlespeech/cli/tts/infer.py
paddlespeech/cli/tts/infer.py
+2
-0
paddlespeech/cli/utils.py
paddlespeech/cli/utils.py
+189
-0
paddlespeech/s2t/exps/u2/model.py
paddlespeech/s2t/exps/u2/model.py
+6
-2
paddlespeech/s2t/io/dataloader.py
paddlespeech/s2t/io/dataloader.py
+8
-5
paddlespeech/s2t/modules/ctc.py
paddlespeech/s2t/modules/ctc.py
+0
-4
paddlespeech/s2t/training/scheduler.py
paddlespeech/s2t/training/scheduler.py
+5
-4
paddlespeech/s2t/training/trainer.py
paddlespeech/s2t/training/trainer.py
+1
-1
未找到文件。
paddlespeech/cli/asr/infer.py
浏览文件 @
318cc9e5
...
@@ -31,6 +31,7 @@ from ..log import logger
...
@@ -31,6 +31,7 @@ from ..log import logger
from
..utils
import
cli_register
from
..utils
import
cli_register
from
..utils
import
download_and_decompress
from
..utils
import
download_and_decompress
from
..utils
import
MODEL_HOME
from
..utils
import
MODEL_HOME
from
..utils
import
stats_wrapper
from
paddlespeech.s2t.frontend.featurizer.text_featurizer
import
TextFeaturizer
from
paddlespeech.s2t.frontend.featurizer.text_featurizer
import
TextFeaturizer
from
paddlespeech.s2t.transform.transformation
import
Transformation
from
paddlespeech.s2t.transform.transformation
import
Transformation
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
...
@@ -425,6 +426,7 @@ class ASRExecutor(BaseExecutor):
...
@@ -425,6 +426,7 @@ class ASRExecutor(BaseExecutor):
logger
.
exception
(
e
)
logger
.
exception
(
e
)
return
False
return
False
@
stats_wrapper
def
__call__
(
self
,
def
__call__
(
self
,
audio_file
:
os
.
PathLike
,
audio_file
:
os
.
PathLike
,
model
:
str
=
'conformer_wenetspeech'
,
model
:
str
=
'conformer_wenetspeech'
,
...
...
paddlespeech/cli/cls/infer.py
浏览文件 @
318cc9e5
...
@@ -26,6 +26,7 @@ from ..log import logger
...
@@ -26,6 +26,7 @@ from ..log import logger
from
..utils
import
cli_register
from
..utils
import
cli_register
from
..utils
import
download_and_decompress
from
..utils
import
download_and_decompress
from
..utils
import
MODEL_HOME
from
..utils
import
MODEL_HOME
from
..utils
import
stats_wrapper
from
paddleaudio
import
load
from
paddleaudio
import
load
from
paddleaudio.features
import
LogMelSpectrogram
from
paddleaudio.features
import
LogMelSpectrogram
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
...
@@ -245,6 +246,7 @@ class CLSExecutor(BaseExecutor):
...
@@ -245,6 +246,7 @@ class CLSExecutor(BaseExecutor):
logger
.
exception
(
e
)
logger
.
exception
(
e
)
return
False
return
False
@
stats_wrapper
def
__call__
(
self
,
def
__call__
(
self
,
audio_file
:
os
.
PathLike
,
audio_file
:
os
.
PathLike
,
model
:
str
=
'panns_cnn14'
,
model
:
str
=
'panns_cnn14'
,
...
...
paddlespeech/cli/st/infer.py
浏览文件 @
318cc9e5
...
@@ -30,6 +30,7 @@ from ..log import logger
...
@@ -30,6 +30,7 @@ from ..log import logger
from
..utils
import
cli_register
from
..utils
import
cli_register
from
..utils
import
download_and_decompress
from
..utils
import
download_and_decompress
from
..utils
import
MODEL_HOME
from
..utils
import
MODEL_HOME
from
..utils
import
stats_wrapper
from
paddlespeech.s2t.frontend.featurizer.text_featurizer
import
TextFeaturizer
from
paddlespeech.s2t.frontend.featurizer.text_featurizer
import
TextFeaturizer
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
from
paddlespeech.s2t.utils.utility
import
UpdateConfig
from
paddlespeech.s2t.utils.utility
import
UpdateConfig
...
@@ -334,6 +335,7 @@ class STExecutor(BaseExecutor):
...
@@ -334,6 +335,7 @@ class STExecutor(BaseExecutor):
logger
.
exception
(
e
)
logger
.
exception
(
e
)
return
False
return
False
@
stats_wrapper
def
__call__
(
self
,
def
__call__
(
self
,
audio_file
:
os
.
PathLike
,
audio_file
:
os
.
PathLike
,
model
:
str
=
'fat_st_ted'
,
model
:
str
=
'fat_st_ted'
,
...
...
paddlespeech/cli/text/infer.py
浏览文件 @
318cc9e5
...
@@ -26,6 +26,7 @@ from ..log import logger
...
@@ -26,6 +26,7 @@ from ..log import logger
from
..utils
import
cli_register
from
..utils
import
cli_register
from
..utils
import
download_and_decompress
from
..utils
import
download_and_decompress
from
..utils
import
MODEL_HOME
from
..utils
import
MODEL_HOME
from
..utils
import
stats_wrapper
__all__
=
[
'TextExecutor'
]
__all__
=
[
'TextExecutor'
]
...
@@ -272,6 +273,7 @@ class TextExecutor(BaseExecutor):
...
@@ -272,6 +273,7 @@ class TextExecutor(BaseExecutor):
logger
.
exception
(
e
)
logger
.
exception
(
e
)
return
False
return
False
@
stats_wrapper
def
__call__
(
def
__call__
(
self
,
self
,
text
:
str
,
text
:
str
,
...
...
paddlespeech/cli/tts/infer.py
浏览文件 @
318cc9e5
...
@@ -29,6 +29,7 @@ from ..log import logger
...
@@ -29,6 +29,7 @@ from ..log import logger
from
..utils
import
cli_register
from
..utils
import
cli_register
from
..utils
import
download_and_decompress
from
..utils
import
download_and_decompress
from
..utils
import
MODEL_HOME
from
..utils
import
MODEL_HOME
from
..utils
import
stats_wrapper
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
from
paddlespeech.s2t.utils.dynamic_import
import
dynamic_import
from
paddlespeech.t2s.frontend
import
English
from
paddlespeech.t2s.frontend
import
English
from
paddlespeech.t2s.frontend.zh_frontend
import
Frontend
from
paddlespeech.t2s.frontend.zh_frontend
import
Frontend
...
@@ -645,6 +646,7 @@ class TTSExecutor(BaseExecutor):
...
@@ -645,6 +646,7 @@ class TTSExecutor(BaseExecutor):
logger
.
exception
(
e
)
logger
.
exception
(
e
)
return
False
return
False
@
stats_wrapper
def
__call__
(
self
,
def
__call__
(
self
,
text
:
str
,
text
:
str
,
am
:
str
=
'fastspeech2_csmsc'
,
am
:
str
=
'fastspeech2_csmsc'
,
...
...
paddlespeech/cli/utils.py
浏览文件 @
318cc9e5
...
@@ -11,22 +11,36 @@
...
@@ -11,22 +11,36 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# See the License for the specific language governing permissions and
# limitations under the License.
# limitations under the License.
import
hashlib
import
inspect
import
json
import
os
import
os
import
tarfile
import
tarfile
import
threading
import
time
import
uuid
import
zipfile
import
zipfile
from
typing
import
Any
from
typing
import
Any
from
typing
import
Dict
from
typing
import
Dict
import
paddle
import
paddleaudio
import
requests
import
yaml
from
paddle.framework
import
load
from
paddle.framework
import
load
from
.
import
download
from
.
import
download
from
..
import
__version__
from
.entry
import
commands
from
.entry
import
commands
requests
.
adapters
.
DEFAULT_RETRIES
=
3
__all__
=
[
__all__
=
[
'cli_register'
,
'cli_register'
,
'get_command'
,
'get_command'
,
'download_and_decompress'
,
'download_and_decompress'
,
'load_state_dict_from_url'
,
'load_state_dict_from_url'
,
'stats_wrapper'
,
]
]
...
@@ -101,6 +115,13 @@ def download_and_decompress(archive: Dict[str, str], path: str) -> os.PathLike:
...
@@ -101,6 +115,13 @@ def download_and_decompress(archive: Dict[str, str], path: str) -> os.PathLike:
if
not
os
.
path
.
isdir
(
uncompress_path
):
if
not
os
.
path
.
isdir
(
uncompress_path
):
download
.
_decompress
(
filepath
)
download
.
_decompress
(
filepath
)
else
:
else
:
StatsWorker
(
task
=
'download'
,
version
=
__version__
,
extra_info
=
{
'download_url'
:
archive
[
'url'
],
'paddle_version'
:
paddle
.
__version__
}).
start
()
uncompress_path
=
download
.
get_path_from_url
(
archive
[
'url'
],
path
,
uncompress_path
=
download
.
get_path_from_url
(
archive
[
'url'
],
path
,
archive
[
'md5'
])
archive
[
'md5'
])
...
@@ -146,3 +167,171 @@ def _get_sub_home(directory):
...
@@ -146,3 +167,171 @@ def _get_sub_home(directory):
PPSPEECH_HOME
=
_get_paddlespcceh_home
()
PPSPEECH_HOME
=
_get_paddlespcceh_home
()
MODEL_HOME
=
_get_sub_home
(
'models'
)
MODEL_HOME
=
_get_sub_home
(
'models'
)
CONF_HOME
=
_get_sub_home
(
'conf'
)
def
_md5
(
text
:
str
):
'''Calculate the md5 value of the input text.'''
md5code
=
hashlib
.
md5
(
text
.
encode
())
return
md5code
.
hexdigest
()
class
ConfigCache
:
def
__init__
(
self
):
self
.
_data
=
{}
self
.
_initialize
()
self
.
file
=
os
.
path
.
join
(
CONF_HOME
,
'cache.yaml'
)
if
not
os
.
path
.
exists
(
self
.
file
):
self
.
flush
()
return
with
open
(
self
.
file
,
'r'
)
as
file
:
try
:
cfg
=
yaml
.
load
(
file
,
Loader
=
yaml
.
FullLoader
)
self
.
_data
.
update
(
cfg
)
except
:
self
.
flush
()
@
property
def
cache_info
(
self
):
return
self
.
_data
[
'cache_info'
]
def
_initialize
(
self
):
# Set default configuration values.
cache_info
=
_md5
(
str
(
uuid
.
uuid1
())[
-
12
:])
+
"-"
+
str
(
int
(
time
.
time
()))
self
.
_data
[
'cache_info'
]
=
cache_info
def
flush
(
self
):
'''Flush the current configuration into the configuration file.'''
with
open
(
self
.
file
,
'w'
)
as
file
:
cfg
=
json
.
loads
(
json
.
dumps
(
self
.
_data
))
yaml
.
dump
(
cfg
,
file
)
stats_api
=
"http://paddlepaddle.org.cn/paddlehub/stat"
cache_info
=
ConfigCache
().
cache_info
class
StatsWorker
(
threading
.
Thread
):
def
__init__
(
self
,
task
=
"asr"
,
model
=
None
,
version
=
__version__
,
extra_info
=
{}):
threading
.
Thread
.
__init__
(
self
)
self
.
_task
=
task
self
.
_model
=
model
self
.
_version
=
version
self
.
_extra_info
=
extra_info
def
run
(
self
):
params
=
{
'task'
:
self
.
_task
,
'version'
:
self
.
_version
,
'from'
:
'ppspeech'
}
if
self
.
_model
:
params
[
'model'
]
=
self
.
_model
self
.
_extra_info
.
update
({
'cache_info'
:
cache_info
,
})
params
.
update
({
"extra"
:
json
.
dumps
(
self
.
_extra_info
)})
try
:
requests
.
get
(
stats_api
,
params
)
except
Exception
:
pass
return
def
_note_one_stat
(
cls_name
,
params
=
{}):
task
=
cls_name
.
replace
(
'Executor'
,
''
).
lower
()
# XXExecutor
extra_info
=
{
'paddle_version'
:
paddle
.
__version__
,
}
if
'model'
in
params
:
model
=
params
[
'model'
]
else
:
model
=
None
if
'audio_file'
in
params
:
try
:
_
,
sr
=
paddleaudio
.
load
(
params
[
'audio_file'
])
except
Exception
:
sr
=
-
1
if
task
==
'asr'
:
extra_info
.
update
({
'lang'
:
params
[
'lang'
],
'inp_sr'
:
sr
,
'model_sr'
:
params
[
'sample_rate'
],
})
elif
task
==
'st'
:
extra_info
.
update
({
'lang'
:
params
[
'src_lang'
]
+
'-'
+
params
[
'tgt_lang'
],
'inp_sr'
:
sr
,
'model_sr'
:
params
[
'sample_rate'
],
})
elif
task
==
'tts'
:
model
=
params
[
'am'
]
extra_info
.
update
({
'lang'
:
params
[
'lang'
],
'vocoder'
:
params
[
'voc'
],
})
elif
task
==
'cls'
:
extra_info
.
update
({
'inp_sr'
:
sr
,
})
elif
task
==
'text'
:
extra_info
.
update
({
'sub_task'
:
params
[
'task'
],
'lang'
:
params
[
'lang'
],
})
else
:
return
StatsWorker
(
task
=
task
,
model
=
model
,
version
=
__version__
,
extra_info
=
extra_info
,
).
start
()
def
_parse_args
(
func
,
*
args
,
**
kwargs
):
# FullArgSpec(args, varargs, varkw, defaults, kwonlyargs, kwonlydefaults, annotations)
argspec
=
inspect
.
getfullargspec
(
func
)
keys
=
argspec
[
0
]
if
keys
[
0
]
==
'self'
:
# Remove self pointer.
keys
=
keys
[
1
:]
default_values
=
argspec
[
3
]
values
=
[
None
]
*
(
len
(
keys
)
-
len
(
default_values
))
values
.
extend
(
list
(
default_values
))
params
=
dict
(
zip
(
keys
,
values
))
for
idx
,
v
in
enumerate
(
args
):
params
[
keys
[
idx
]]
=
v
for
k
,
v
in
kwargs
.
items
():
params
[
k
]
=
v
return
params
def
stats_wrapper
(
executor_func
):
def
_warpper
(
self
,
*
args
,
**
kwargs
):
try
:
_note_one_stat
(
type
(
self
).
__name__
,
_parse_args
(
executor_func
,
*
args
,
**
kwargs
))
except
Exception
:
pass
return
executor_func
(
self
,
*
args
,
**
kwargs
)
return
_warpper
paddlespeech/s2t/exps/u2/model.py
浏览文件 @
318cc9e5
...
@@ -238,7 +238,9 @@ class U2Trainer(Trainer):
...
@@ -238,7 +238,9 @@ class U2Trainer(Trainer):
preprocess_conf
=
config
.
preprocess_config
,
preprocess_conf
=
config
.
preprocess_config
,
n_iter_processes
=
config
.
num_workers
,
n_iter_processes
=
config
.
num_workers
,
subsampling_factor
=
1
,
subsampling_factor
=
1
,
num_encs
=
1
)
num_encs
=
1
,
dist_sampler
=
False
,
shortest_first
=
False
)
self
.
valid_loader
=
BatchDataLoader
(
self
.
valid_loader
=
BatchDataLoader
(
json_file
=
config
.
dev_manifest
,
json_file
=
config
.
dev_manifest
,
...
@@ -257,7 +259,9 @@ class U2Trainer(Trainer):
...
@@ -257,7 +259,9 @@ class U2Trainer(Trainer):
preprocess_conf
=
config
.
preprocess_config
,
preprocess_conf
=
config
.
preprocess_config
,
n_iter_processes
=
config
.
num_workers
,
n_iter_processes
=
config
.
num_workers
,
subsampling_factor
=
1
,
subsampling_factor
=
1
,
num_encs
=
1
)
num_encs
=
1
,
dist_sampler
=
False
,
shortest_first
=
False
)
logger
.
info
(
"Setup train/valid Dataloader!"
)
logger
.
info
(
"Setup train/valid Dataloader!"
)
else
:
else
:
decode_batch_size
=
config
.
get
(
'decode'
,
dict
()).
get
(
decode_batch_size
=
config
.
get
(
'decode'
,
dict
()).
get
(
...
...
paddlespeech/s2t/io/dataloader.py
浏览文件 @
318cc9e5
...
@@ -78,7 +78,8 @@ class BatchDataLoader():
...
@@ -78,7 +78,8 @@ class BatchDataLoader():
load_aux_input
:
bool
=
False
,
load_aux_input
:
bool
=
False
,
load_aux_output
:
bool
=
False
,
load_aux_output
:
bool
=
False
,
num_encs
:
int
=
1
,
num_encs
:
int
=
1
,
dist_sampler
:
bool
=
False
):
dist_sampler
:
bool
=
False
,
shortest_first
:
bool
=
False
):
self
.
json_file
=
json_file
self
.
json_file
=
json_file
self
.
train_mode
=
train_mode
self
.
train_mode
=
train_mode
self
.
use_sortagrad
=
sortagrad
==
-
1
or
sortagrad
>
0
self
.
use_sortagrad
=
sortagrad
==
-
1
or
sortagrad
>
0
...
@@ -97,6 +98,7 @@ class BatchDataLoader():
...
@@ -97,6 +98,7 @@ class BatchDataLoader():
self
.
load_aux_input
=
load_aux_input
self
.
load_aux_input
=
load_aux_input
self
.
load_aux_output
=
load_aux_output
self
.
load_aux_output
=
load_aux_output
self
.
dist_sampler
=
dist_sampler
self
.
dist_sampler
=
dist_sampler
self
.
shortest_first
=
shortest_first
# read json data
# read json data
with
jsonlines
.
open
(
json_file
,
'r'
)
as
reader
:
with
jsonlines
.
open
(
json_file
,
'r'
)
as
reader
:
...
@@ -113,7 +115,7 @@ class BatchDataLoader():
...
@@ -113,7 +115,7 @@ class BatchDataLoader():
maxlen_out
,
maxlen_out
,
minibatches
,
# for debug
minibatches
,
# for debug
min_batch_size
=
mini_batch_size
,
min_batch_size
=
mini_batch_size
,
shortest_first
=
self
.
use_sortagrad
,
shortest_first
=
self
.
shortest_first
or
self
.
use_sortagrad
,
count
=
batch_count
,
count
=
batch_count
,
batch_bins
=
batch_bins
,
batch_bins
=
batch_bins
,
batch_frames_in
=
batch_frames_in
,
batch_frames_in
=
batch_frames_in
,
...
@@ -149,13 +151,13 @@ class BatchDataLoader():
...
@@ -149,13 +151,13 @@ class BatchDataLoader():
self
.
reader
)
self
.
reader
)
if
self
.
dist_sampler
:
if
self
.
dist_sampler
:
self
.
sampler
=
DistributedBatchSampler
(
self
.
batch_
sampler
=
DistributedBatchSampler
(
dataset
=
self
.
dataset
,
dataset
=
self
.
dataset
,
batch_size
=
1
,
batch_size
=
1
,
shuffle
=
not
self
.
use_sortagrad
if
self
.
train_mode
else
False
,
shuffle
=
not
self
.
use_sortagrad
if
self
.
train_mode
else
False
,
drop_last
=
False
,
)
drop_last
=
False
,
)
else
:
else
:
self
.
sampler
=
BatchSampler
(
self
.
batch_
sampler
=
BatchSampler
(
dataset
=
self
.
dataset
,
dataset
=
self
.
dataset
,
batch_size
=
1
,
batch_size
=
1
,
shuffle
=
not
self
.
use_sortagrad
if
self
.
train_mode
else
False
,
shuffle
=
not
self
.
use_sortagrad
if
self
.
train_mode
else
False
,
...
@@ -163,7 +165,7 @@ class BatchDataLoader():
...
@@ -163,7 +165,7 @@ class BatchDataLoader():
self
.
dataloader
=
DataLoader
(
self
.
dataloader
=
DataLoader
(
dataset
=
self
.
dataset
,
dataset
=
self
.
dataset
,
batch_sampler
=
self
.
sampler
,
batch_sampler
=
self
.
batch_
sampler
,
collate_fn
=
batch_collate
,
collate_fn
=
batch_collate
,
num_workers
=
self
.
n_iter_processes
,
)
num_workers
=
self
.
n_iter_processes
,
)
...
@@ -194,5 +196,6 @@ class BatchDataLoader():
...
@@ -194,5 +196,6 @@ class BatchDataLoader():
echo
+=
f
"load_aux_input:
{
self
.
load_aux_input
}
, "
echo
+=
f
"load_aux_input:
{
self
.
load_aux_input
}
, "
echo
+=
f
"load_aux_output:
{
self
.
load_aux_output
}
, "
echo
+=
f
"load_aux_output:
{
self
.
load_aux_output
}
, "
echo
+=
f
"dist_sampler:
{
self
.
dist_sampler
}
, "
echo
+=
f
"dist_sampler:
{
self
.
dist_sampler
}
, "
echo
+=
f
"shortest_first:
{
self
.
shortest_first
}
, "
echo
+=
f
"file:
{
self
.
json_file
}
"
echo
+=
f
"file:
{
self
.
json_file
}
"
return
echo
return
echo
paddlespeech/s2t/modules/ctc.py
浏览文件 @
318cc9e5
...
@@ -39,10 +39,6 @@ except ImportError:
...
@@ -39,10 +39,6 @@ except ImportError:
except
Exception
as
e
:
except
Exception
as
e
:
logger
.
info
(
"paddlespeech_ctcdecoders not installed!"
)
logger
.
info
(
"paddlespeech_ctcdecoders not installed!"
)
#try:
#except Exception as e:
# logger.info("ctcdecoder not installed!")
__all__
=
[
'CTCDecoder'
]
__all__
=
[
'CTCDecoder'
]
...
...
paddlespeech/s2t/training/scheduler.py
浏览文件 @
318cc9e5
...
@@ -67,18 +67,19 @@ class WarmupLR(LRScheduler):
...
@@ -67,18 +67,19 @@ class WarmupLR(LRScheduler):
super
().
__init__
(
learning_rate
,
last_epoch
,
verbose
)
super
().
__init__
(
learning_rate
,
last_epoch
,
verbose
)
def
__repr__
(
self
):
def
__repr__
(
self
):
return
f
"
{
self
.
__class__
.
__name__
}
(warmup_steps=
{
self
.
warmup_steps
}
)"
return
f
"
{
self
.
__class__
.
__name__
}
(warmup_steps=
{
self
.
warmup_steps
}
, lr=
{
self
.
base_lr
}
, last_epoch=
{
self
.
last_epoch
}
)"
def
get_lr
(
self
):
def
get_lr
(
self
):
# self.last_epoch start from zero
step_num
=
self
.
last_epoch
+
1
step_num
=
self
.
last_epoch
+
1
return
self
.
base_lr
*
self
.
warmup_steps
**
0.5
*
min
(
return
self
.
base_lr
*
self
.
warmup_steps
**
0.5
*
min
(
step_num
**-
0.5
,
step_num
*
self
.
warmup_steps
**-
1.5
)
step_num
**-
0.5
,
step_num
*
self
.
warmup_steps
**-
1.5
)
def
set_step
(
self
,
step
:
int
=
None
):
def
set_step
(
self
,
step
:
int
=
None
):
'''
'''
It will update the learning rate in optimizer according to current ``epoch`` .
It will update the learning rate in optimizer according to current ``epoch`` .
The new learning rate will take effect on next ``optimizer.step`` .
The new learning rate will take effect on next ``optimizer.step`` .
Args:
Args:
step (int, None): specify current epoch. Default: None. Auto-increment from last_epoch=-1.
step (int, None): specify current epoch. Default: None. Auto-increment from last_epoch=-1.
Returns:
Returns:
...
@@ -94,7 +95,7 @@ class ConstantLR(LRScheduler):
...
@@ -94,7 +95,7 @@ class ConstantLR(LRScheduler):
learning_rate (float): The initial learning rate. It is a python float number.
learning_rate (float): The initial learning rate. It is a python float number.
last_epoch (int, optional): The index of last epoch. Can be set to restart training. Default: -1, means initial learning rate.
last_epoch (int, optional): The index of last epoch. Can be set to restart training. Default: -1, means initial learning rate.
verbose (bool, optional): If ``True``, prints a message to stdout for each update. Default: ``False`` .
verbose (bool, optional): If ``True``, prints a message to stdout for each update. Default: ``False`` .
Returns:
Returns:
``ConstantLR`` instance to schedule learning rate.
``ConstantLR`` instance to schedule learning rate.
"""
"""
...
...
paddlespeech/s2t/training/trainer.py
浏览文件 @
318cc9e5
...
@@ -222,7 +222,7 @@ class Trainer():
...
@@ -222,7 +222,7 @@ class Trainer():
batch_sampler
=
self
.
train_loader
.
batch_sampler
batch_sampler
=
self
.
train_loader
.
batch_sampler
if
isinstance
(
batch_sampler
,
paddle
.
io
.
DistributedBatchSampler
):
if
isinstance
(
batch_sampler
,
paddle
.
io
.
DistributedBatchSampler
):
logger
.
debug
(
logger
.
debug
(
f
"train_loader.batch_sample
set
epoch:
{
self
.
epoch
}
"
)
f
"train_loader.batch_sample
.set_
epoch:
{
self
.
epoch
}
"
)
batch_sampler
.
set_epoch
(
self
.
epoch
)
batch_sampler
.
set_epoch
(
self
.
epoch
)
def
before_train
(
self
):
def
before_train
(
self
):
...
...
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